collaborators

7 papers

cs.CV2026

Canonical Color as a Lens into Concept Decodability in Vision Encoders and VLMs

Xiaofu Chen, Stella Frank, Yova Kementchedjhieva

Visual encoders construct a representation of the image input for Vision-Language models. How much conceptual, as opposed to immediately visible, information does this representati…

cs.CL2026

Overview of SHROOM-Visions 2026: A Shared Task on Hallucination Detection in Large Vision-Language Models

Raúl Vázquez, Aman Sinha, Chuyuan Li +12

In 2026, we held the fourth iteration of the SHROOM Shared Task series: SHROOM-Visions (\textbf{S}hared-task on \textbf{H}allucinations and \textbf{R}elated \textbf{O}bservable \te…

cs.CV2026

Can Humans Dream of Electric Sheep? Human-Written Samples for Fine-Grained Vision-and-Language Hallucination Benchmarking

Timothee Mickus, Claudio Savelli, Eduardo Calò +10

In an age of rapid model turnover, how do we make hallucination evaluation more perennial? We explore whether human-written hallucination samples could take the place of model-gene…

cs.CV2026

Pathways of Visual Information Flow in Vision-Language Models

Israfel Salazar, Stella Frank, Dan Oneata +2

We study how visual information is routed in vision-language models (VLMs). Using causal patching on controlled synthetic and natural datasets, we find that models rely on two dist…

cs.CL2025

EvalCards: A Framework for Standardized Evaluation Reporting

Ruchira Dhar, Danae Sanchez Villegas, Antonia Karamolegkou +11

Evaluation reports guide the use of general-purpose AI (GPAI) models, yet inconsistent reporting often leaves essential questions unanswered. Through a review of prior work, we ide…

cs.CV2025

How Well Do Vision-Language Models Understand Movies?

Emmanouil Zaranis, António Farinhas, Saul Santos +28

Vision-language models (VLMs) can increasingly handle extended contexts and answer questions about long videos--but can they understand the narrative structure of movies as humans…

cs.CL2025

Seeing What Tastes Good: Revisiting Multimodal Distributional Semantics in the Billion Parameter Era

Dan Oneata, Desmond Elliott, Stella Frank

Human learning and conceptual representation is grounded in sensorimotor experience, in contrast to state-of-the-art foundation models. In this paper, we investigate how well such…